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Vehicle Routing Optimizer

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Quantum Computations offer a viable solution to optimized Vehicle
Routing for logistics, transportation and distribution industry:

The Vehicle Routing Problem (VRP) is classified as an NP-hard problem, which means finding an optimal solution in polynomial time is computationally intractable. While it's easy to verify if a given solution is valid, finding the best solution takes exponentially longer as the number of customers or constraints increases.

These are conditions where our quantum powered hybrid optimizer provides advantages of speed, cost and efficiency. By optimizing order and vehicle routing, we help your business rationalize cost of transportation and package distribution requirements.

Experience it yourself under 4 categories in this self service demo.

This category demonstrates optimized routes based on types of vehicles, capacities, and delivery time window.
This category demonstrates complexities like combined pickups deliveries, multiple depots, multi-trip routes, and routes that do not end at the starting depot.
This category deals with more specialized VRPs where deliveries span multiple days, accounting for cost and distance based on travel date/time while considering driver skills and lunch breaks.
This category includes VRPs which will provide multiple route options based on objectives like cost, route, workload etc.